# adaptive_gepa_with_complexity

A other tool on the GEPA MCP Server MCP server.

Agent View of the PolicyLayer registry record for `adaptive_gepa_with_complexity`. HTML page: https://policylayer.com/tools/developzir-gepa-mcp/adaptive-gepa-with-complexity

## Facts

- Tool: `adaptive_gepa_with_complexity`
- Server: GEPA MCP Server (`developzir/gepa-mcp`) — https://policylayer.com/tools/developzir-gepa-mcp.md
- Homepage: https://github.com/developzir/gepa-mcp
- Risk category: Other (Low risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Rate-limited

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "adaptive_gepa_with_complexity",
    "arguments": {}
  }
}
```

## Why adaptive_gepa_with_complexity is rated Low

The tool name suggests it is related to GEPA (Genetic-Evolutionary Prompt Architecture) prompt optimization with some complexity-adaptive behavior, based on sibling tools context. Prompt optimization tools typically only read/write prompt text internally and return improved prompts, placing them at most in the Write category. However, with an empty description, confidence is very low.

From the tool's own definition: "Tool name is 'adaptive_gepa_with_complexity'; description is empty and uninformative."

## Use case

AI agents call adaptive_gepa_with_complexity as a supporting operation in GEPA MCP Server workflows.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches GEPA MCP Server:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "adaptive_gepa_with_complexity": {
      "limits": [
        {
          "counter": "adaptive_gepa_with_complexity_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on GEPA MCP Server (11)

- `auto_optimize_prompt` — Other — https://policylayer.com/tools/developzir-gepa-mcp/auto-optimize-prompt.md
- `conversational_optimize` — Other — https://policylayer.com/tools/developzir-gepa-mcp/conversational-optimize.md
- `explain_optimization` — Other — https://policylayer.com/tools/developzir-gepa-mcp/explain-optimization.md
- `gepa_with_claude_analysis` — Other — https://policylayer.com/tools/developzir-gepa-mcp/gepa-with-claude-analysis.md
- `gepa_with_conversation_patterns` — Other — https://policylayer.com/tools/developzir-gepa-mcp/gepa-with-conversation-patterns.md
- `holistic_optimize` — Other — https://policylayer.com/tools/developzir-gepa-mcp/holistic-optimize.md
- `multi_perspective_gepa` — Other — https://policylayer.com/tools/developzir-gepa-mcp/multi-perspective-gepa.md
- `optimize_prompt` — Other — https://policylayer.com/tools/developzir-gepa-mcp/optimize-prompt.md
- `optimize_with_generated_training` — Other — https://policylayer.com/tools/developzir-gepa-mcp/optimize-with-generated-training.md
- `quick_prompt_improve` — Other — https://policylayer.com/tools/developzir-gepa-mcp/quick-prompt-improve.md
- `transfer_optimization_patterns` — Other — https://policylayer.com/tools/developzir-gepa-mcp/transfer-optimization-patterns.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=developzir-gepa-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/developzir-gepa-mcp